Estimating voluntary elbow torque from biceps brachii electromyography using a particle filter

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Title

Estimating voluntary elbow torque from biceps brachii electromyography using a particle filter

Content partner

University of Canterbury Library

Collection

UC Research Repository

Description

Background: Stroke is one of the leading causes of disability worldwide. Assist-as-need control is desirable as it can optimise the rehabilitation and potentially greatly improve the patient’s recovery from stroke. However, to achieve optimal assistance, the voluntary effort a patient applies must be known. Objective: To verify the use of a particle filter to accurately estimate in real-time the voluntary torque from electromyography (EMG) for various subjects and movement speeds, accounting ...

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Format

Research paper

Research format

Journal article

Date created

2021

Creator

Chatfield LT / Pretty CG / Fortune BC / McKenzie LR / Whitwham GH / Hayes MP

URL

https://hdl.handle.net/10092/101961

Related subjects

particle filter / Electromyography (EMG) / Voluntary torque / motion model / sensor model / Cumulative distribution function (CDF) / Probability density function (PDF) / process noise / logistic function / inverse transform sampling / Biomedical and clinical sciences / Medical biotechnology / Engineering / Biomedical engineering / Biomechanical engineering

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All rights reserved unless otherwise stated

You can learn more about the rights status of this item at: http://hdl.handle.net/10092/17651

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